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Data:
1213.8 1245.6 1306.3 1255.8 1257.6 1287.8 1300.4 1320.9 1370.8 1327.3 1320 1345.3 1346.7 1395.4 1462 1491.6 1461.8 1477.9 1490.3 1521.1 1561.9 1552.6 1523.6 1548.3 1552.4 1587 1621.3 1648.7 1641.8 1650.6 1688.6 1670.7 1682.2 1678.9 1650.6 1662.4 1664.5 1683.2 1736.2 1747.6 1749 1759.7 1793.6 1817.4 1858.4 1839.9 1809.1 1877.7 1880.3 1930.9 2039.3 1992.7 1987.8 1984.4 2016.5 2016.7 2064.1 2031.5 2000.3 2057.8 2041.2 2093.2 2158.3 2128.8 2131.9 2170.3 2190.8 2217.7 2254.4 2223.3 2210.5 2250.8 2249.1 2288.6 2329.2 2313.8 2309.8 2345.9 2361.3 2372 2410.4 2398.5 2362.3 2419.1 2421.6 2465 2480.5 2506.1 2506.6 2525.8 2550 2578.3 2807.8 2815.3 2767.7 2815.4 2838.8 2864 2948.6 2922.8 2917.2 2936.8 2993.4 3007.8 3046.3 3011.5 2958.6 3019.8 2998.5 3040.4 3166 3110 3099.2 3150.3 3163.6 3182.6 3244.4 3223.2 3143.6 3217 3182.3 3217.2 3262.5 3227.9 3171.6 3219 3195.4 3221.6 3262.1 3179.5 3133.6 3219.2 3245 3265.3 3312.5 3383.6 3386.3 3411.1 3467.2 3487.7 3575.5 3571.5 3582.3 3637.1 3685
Name of dataseries
Source
Description
Season
12
6
4
No season
Chart options
Title:
Label y-axis:
Label x-axis:
Y-axis minimum
Y-axis maximum
R Code
bitmap(file='test1.png') plot(x,col=2,type='b',main=main,xlab=xlab,ylab=ylab) dev.off() load(file='createtable') a<-table.start() a<-table.row.start(a) a<-table.element(a,'Univariate Dataseries',2,TRUE) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,'Name of dataseries',header=TRUE) a<-table.element(a,par1) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,'Source',header=TRUE) a<-table.element(a,par2) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,'Description',header=TRUE) a<-table.element(a,par3) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,'Number of observations',header=TRUE) a<-table.element(a,length(x)) a<-table.row.end(a) a<-table.end(a) table.save(a,file='mytable.tab')
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Raw Output
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Computing time
0 seconds
R Server
Big Analytics Cloud Computing Center
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